Auditing Outsourced Data on Cloud Using HLA with Random Masking Technique

  Remidicherla Rupa

Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage applications and services). The Cloud server allows user to upload their data on a cloud. But as user’s data is stored at the remote place how users will get the confirmation about integrity of stored data. Sometimes Cloud service providers behave unfaithfully towards the cloud users regarding the status of their outsourced data. So we propose Public audit ability that allows an external party, in addition to the user himself, to verify the integrity of outsourced data on cloud. Indeed, they may potentially reveal user data information to the auditors in the auditing process leads to new vulnerabilities and additional online burden. However, most of the schemes do not consider the privacy protection of users’ data against external auditors. So to securely introduce an effective TPA, we propose an aggregate homomorphic linear authenticator with random masking technique. In our protocol, the linear combination of sampled blocks in the server’s response is masked with randomness generated by the server using pseudo random function (PRF). Also we use the HLA which is based on the short signature scheme proposed by Boneh, Lynn and Shacham (referred as BLS signature).

Keywords- Cloud Computing, Data Integrity, Homomorphic Encryption, Homomorphic Linear Authentication (HLA), Zero Knowledge, Privacy Preserving, Public Auditing

Unique Identification Number - IJEDR1503011
Page Number(s) -
Pubished in - Volume 3 | Issue 3 | July 2015
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Remidicherla Rupa,   "Auditing Outsourced Data on Cloud Using HLA with Random Masking Technique ", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 3, pp., July 2015, Available at :http://www.ijedr.org/papers/IJEDR1503011.pdf